16 papers
Graph-Theoretic Models for the Prediction of Molecular Measurements
Anna Niane, Prudence Djagba
Graph-theoretic approaches offer simplicity, interpretability, and low computational cost for molecular property prediction. Among these, the model proposed by Mukwembi and Nyabadz…
Exploring Data Augmentation and Resampling Strategies for Transformer-Based Models to Address Class Imbalance in AI Scoring of Scientific Explanations in NGSS Classroom
Prudence Djagba, Kevin Haudek, Clare G. C. Franovic +1
Automated scoring of students' scientific explanations offers the potential for immediate, accurate feedback, yet class imbalance in rubric categories particularly those capturing…
Reinforcement Learning for Portfolio Optimization with a Financial Goal and Defined Time Horizons
Fermat Leukam, Rock Stephane Koffi, Prudence Djagba
This research proposes an enhancement to the innovative portfolio optimization approach using the G-Learning algorithm, combined with parametric optimization via the GIRL algorithm…
Exploring Large Language Models for Financial Applications: Techniques, Performance, and Challenges with FinMA
Prudence Djagba, Abdelkader Y. Saley
This research explores the strengths and weaknesses of domain-adapted Large Language Models (LLMs) in the context of financial natural language processing (NLP). The analysis cente…
Learning Progression-Guided AI Evaluation of Scientific Models To Support Diverse Multi-Modal Understanding in NGSS Classroom
Leonora Kaldaras, Tingting Li, Prudence Djagba +2
Learning Progressions (LPs) can help adjust instruction to individual learners needs if the LPs reflect diverse ways of thinking about a construct being measured, and if the LP-ali…
Assessing the Capabilities and Limitations of FinGPT Model in Financial NLP Applications
Prudence Djagba, Chimezie A. Odinakachukwu
This work evaluates FinGPT, a financial domain-specific language model, across six key natural language processing (NLP) tasks: Sentiment Analysis, Text Classification, Named Entit…
Inference with K-means
Alfred K. Adzika, Prudence Djagba
This thesis aims to invent new approaches for making inferences with the k-means algorithm. k-means is an iterative clustering algorithm that randomly assigns k centroids, then ass…
Deep Transfer Learning for Breast Cancer Classification
Prudence Djagba, J. K. Buwa Mbouobda
Breast cancer is a major global health issue that affects millions of women worldwide. Classification of breast cancer as early and accurately as possible is crucial for effective…
Pricing American Options using Machine Learning Algorithms
Prudence Djagba, Callixte Ndizihiwe
This study investigates the application of machine learning algorithms, particularly in the context of pricing American options using Monte Carlo simulations. Traditional models, s…
On Classical Prime Near-ring Modules
P. Djagba, S. Juglal
In 2005, M. Behboodi introduced the notion of a classical prime ring module, which he showed is, in general, nonequivalent to a (Dauns) prime ring module. In this paper, we extende…
On Linear Maps and Seed Sets of Beidleman Near-Vector Spaces
P. Djagba, A. L. Prins
We studied linear mappings in Beidleman near-vector spaces and explored their matrix representations using -bases of -subgroups. Additionally, we developed algorithms for det…
Combinatorics of subgroups of Beidleman near-vector spaces
Prudence Djagba, Jan Hązła
Combinatorial aspects of R-subgroups of finite dimensional Beidleman near-vector spaces over nearfields are studied. A characterization of R-subgroups is used to obtain the smalles…
Construction of a finite Dickson nearfield
Prudence Djagba
For a Dickson pair we show that forms a finite complete set of different residues modulo . We also study th…
On the center of a finite Dickson nearfield
Prudence Djagba
We study the center of a finite Dickson nearfield that arises from a Dickson pair.
On the generalized distributive set of a finite nearfield
Prudence Djagba
For any nearfield , denote by the set of all distributive elements of . Let be a finite Dickson nearfield that arises from Dickson pair . For a g…
The subspace structure of finite dimensional Beidleman near-vector spaces
P Djagba, K-T Howell
The subspace structure of Beidleman near-vector spaces is investigated. We characterise finite dimensional Beidleman near-vector spaces and we classify the R-subgroups of finite di…